1 00:00:00,480 --> 00:00:02,610 This module has two objectives. 2 00:00:02,610 --> 00:00:05,160 The first of which is to review measures 3 00:00:05,160 --> 00:00:07,560 of disease frequency, like incidents, 4 00:00:07,560 --> 00:00:10,500 prevalence, and odds, as well as extending 5 00:00:10,500 --> 00:00:12,240 the conversation about incidents 6 00:00:12,240 --> 00:00:14,370 to things like survival analysis 7 00:00:14,370 --> 00:00:17,760 or the time until a given event occurs. 8 00:00:17,760 --> 00:00:19,500 This can get complex fast 9 00:00:19,500 --> 00:00:21,360 and your book will go into several different 10 00:00:21,360 --> 00:00:25,170 measures of incidents that we will also discuss together. 11 00:00:25,170 --> 00:00:26,640 One thing that I find useful 12 00:00:26,640 --> 00:00:29,130 to keep me oriented when talking about measures 13 00:00:29,130 --> 00:00:31,470 of incidents is that the numerator 14 00:00:31,470 --> 00:00:33,270 always stays the same across 15 00:00:33,270 --> 00:00:34,590 all of the different measures. 16 00:00:34,590 --> 00:00:37,280 We only change the denominator. 17 00:00:37,280 --> 00:00:40,230 So the numerator will always be the number 18 00:00:40,230 --> 00:00:42,840 of events of interest in whatever time period 19 00:00:42,840 --> 00:00:44,340 we're looking at. 20 00:00:44,340 --> 00:00:46,740 Changing the denominator, for example, 21 00:00:46,740 --> 00:00:48,420 talking above an incidence rate 22 00:00:48,420 --> 00:00:50,940 versus the number of persons at risk 23 00:00:50,940 --> 00:00:52,770 is just talking about the incidents 24 00:00:52,770 --> 00:00:54,663 in more and more accurate ways. 25 00:00:55,620 --> 00:00:59,610 The second objective is to review statistical inference. 26 00:00:59,610 --> 00:01:01,200 This isn't in your book chapter, 27 00:01:01,200 --> 00:01:02,520 but it's important to review 28 00:01:02,520 --> 00:01:04,770 before we move forward and begin talking 29 00:01:04,770 --> 00:01:08,370 about measures of association in the next module. 30 00:01:08,370 --> 00:01:10,020 We'll review statistical tests, 31 00:01:10,020 --> 00:01:13,020 like t-tests, Chi-square, and ANOVA. 32 00:01:13,020 --> 00:01:14,520 You'll see this in your lab 33 00:01:14,520 --> 00:01:17,310 and in some of the other materials below. 34 00:01:17,310 --> 00:01:18,540 Again, please reach out to me 35 00:01:18,540 --> 00:01:20,193 or Isabelle with any questions.